Automated Design of Mechatronic Systems using Bond-Graph Modeling and Simulation and Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Kayani:2007:IBCAST,

• author = "Saheeb Ahmed Kayani and Muhammad Afzaal Malik",
• title = "Automated Design of Mechatronic Systems using Bond-Graph Modeling and Simulation and Genetic Programming",
• booktitle = "International Bhurban Conference on Applied Sciences Technology, IBCAST 2007",
• year = "2007",
• month = jan,
• pages = "104--110",
• keywords = "genetic algorithms, genetic programming, advanced object oriented modeling, advanced object oriented simulation, bond-graph modeling, mechatronic systems, state equations, bond graphs, mechatronics",
• DOI = "doi:10.1109/IBCAST.2007.4379917",
• abstract = "All modern dynamic engineering systems can be characterized as mechatronic systems. The multi-domain nature of a mechatronic system makes it difficult to model using a single modeling technique over the whole system as varying sets of system variables are required. Bond-Graphs offer an advanced object oriented modeling and simulation technique. They are domain independent allowing straight forward and efficient model composition, classification and analysis. Bond-Graph model of the mechatronic system can be directly simulated on a digital computer using simulation software like 20-Sim and Modelica graphically or manipulated mathematically to yield state equations using a simplified set of power and energy variables. The simulation scheme can be augmented to synthesize designs for mechatronic systems using genetic programming as a tool for open ended search. This research paper presents results of experiments conducted to combine Bond-Graph modeling and simulation with genetic programming. A comprehensive review of the methodology is also included and the results are compared using different simulation softwares and conclusions drawn by research groups working on mechatronic systems and genetic programming internationally.",
• notes = "Also known as \cite{4379917}",

}

Genetic Programming entries for Saheeb Ahmed Kayani Muhammad Afzaal Malik

Citations